
USING STATISTICAL TOOLS TO DETECT GASOLINE ADULTERATION
Author(s) -
Paulo Jorge Sanches Barbeira
Publication year - 2002
Publication title -
engenharia térmica
Language(s) - English
Resource type - Journals
ISSN - 1676-1790
DOI - 10.5380/reterm.v1i2.3511
Subject(s) - gasoline , refinery , composition (language) , petrochemical , environmental science , mathematics , process engineering , waste management , engineering , environmental engineering , philosophy , linguistics
Histograms and normal distribution curves (Gaussian fit) were used to determine
the average composition of the gasoline commercialized in the state of Minas
Gerais, Brazil, and to detect samples with atypical composition. Atypical
composition may rise from the fact that the gasoline comes from distinct sources
(refinery or petrochemical plant) or may be due to the careful addition of industrial
solvents. A considerable number of samples of atypical composition have been
detected despite the samples tested having the same source. This statistical
analytical tool has been shown useful in the evaluation of fuel quality.